Journal of Optoelectronics · Laser, Volume. 34, Issue 9, 932(2023)
Infrared and visible image fusion based on NSST framework combining local adaptive intensity and dual channel adaptive pulse coupled neural network
References(5)
[7] [7] ZHANG Y,LIU Y,SUN P,et al.IFCNN:A general image fusion framework based on convolutional neural network[J].Information Fusion,2020,54:99-118.
[8] [8] MA J,WEI Y,LIANG P.FusionGAN:a generative adversarial network for infrared and visible image fusion[J].Information Fusion,2019,48:11-26.
[12] [12] ZHAO C,HUANG Y D.Infrared and visible image fusion vis rolling guidance filtering and hybrid multi-scale decomposition[J].Laser & Optoelectronics Progress,2019,56(14):141007.
[15] [15] KUMAR B K S.Image fusion based on pixel significance using cross bilateral filter[J].Signal, Image and Video Processing,2015,9(5):1193-1204.
[16] [16] ZHANG Y,ZHANG L J,BAI X Z,et al.Infrared and visual Image fusion through infrared feature extraction and visual information preservation[J].Infrared Physics & Technology,2017,83:227-237.
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JIANG Mai, ZHENG Yan, LI Hongda, ZHANG Xiaoshun, YU Aoyang. Infrared and visible image fusion based on NSST framework combining local adaptive intensity and dual channel adaptive pulse coupled neural network[J]. Journal of Optoelectronics · Laser, 2023, 34(9): 932
Paper Information
Received: Jun. 24, 2022
Accepted: --
Published Online: Sep. 25, 2024
The Author Email: JIANG Mai (CSI_008086@163.com)
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